Recogniform Banknotes Processor is the ideal solution for banknotes serials and amount
recognition. This powerful application allows you to get images from any
TWAIN source, recognize serials and amount and create detailed customizable
reports with all info needed.

1. Starting a new transaction
First, you will be asked to insert transaction data: Account Number, Transaction ID, Teller and Date/Time. These two last datas may be filled automatically.

2. Banknotes Acquisition
You can get your images from any TWAIN scanner supporting greyscale or color acquisition. You don't need special hardware: a normal desktop document scanner equipped with ADF is enough.

3. Banknotes RecognitionRecogniform Banknotes Processor recognizes all serials automatically anywhere on the image, independent of skew, orientation and flipping. You'll get high recognition
accuracy and performance also under poor quality conditions, thank to the powerful Recogniform image processing libraries incorporated in the application. The recognition result is verified using cross
validation when two serial numbers are present on each banknote and/or using
checksum when available, updating the recognition confidence level. Recogniform B.P. recognizes the amount of the banknote, too.

4. Correction/Validation
After recognition you will see a detailed summary of the transaction: each banknote scanned is reported with its own progressive ID, the transaction ID, its serial number, the amount and the confidence level (from 0 to 100).

If the confidence rate is lower than 100, you will see a red mark on the record. Just double click on it and the image of the banknote to validate is displayed. As You correct, the confidence level is set to 100.

5. ReportThanks to its easy-to-use Report module, you will get a detailed reportof all banknotes processed, with all info needed. Connected to a database of "black-listed" serial numbers, for example, you could be able to find immediately false banknotes, making serial number recognition
a powerful weapon in the fight against crime.